Simulation for Driving papers, 2023–2026

Key findings

• Simulation for Driving went from 969 papers in 2023 to 2,200 in 2026, roughly 2.3x in three years.
• NeurIPS publishes the most Simulation for Driving work: 2,111 papers from 2023 to 2026, 36% of the four-venue total.
• The fastest-growing overlap is with Diffusion Models: papers tagged with both rose from 27 in 2023 to 205 in 2026.
• Among the 5 topics under Autonomous Driving, it ranks #1 by 2026 paper count; the fastest grower in the group, Motion Planning, is up 2.4x versus 2.3x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026$SE(2)$-Aware Conditional Distribution Transport for Vehicle Trajectory Generation
• ICML 2026A Penalty Approach For Differentiation Through Black-box Quadratic Programming Solvers
• ICLR 2026A Schrödinger Eigenfunction Method for Long-Horizon Stochastic Optimal Control
• CVPR 2026A2GC Asymmetric Aggregation with Geometric Constraints for Locally Aggregated Descriptors
• NeurIPS 2025A compressive-expressive communication framework for compositional representations
• ICML 2025A Near-Optimal Single-Loop Stochastic Algorithm for Convex Finite-Sum Coupled Compositional Optimization
• ICLR 2025A Truncated Newton Method for Optimal Transport
• CVPR 20253D-SLNR: A Super Lightweight Neural Representation for Large-scale 3D Mapping
• NeurIPS 2024[Re] CUDA: Curriculum of Data Augmentation for Long‐tailed Recognition
• ICML 2024$H$-Consistency Guarantees for Regression
• ICLR 2024$\texttt{NAISR}$: A 3D Neural Additive Model for Interpretable Shape Representation
• CVPR 2024Decentralized Directed Collaboration for Personalized Federated Learning
• NeurIPS 2023[Re] FOCUS: Flexible Optimizable Counterfactual Explanations for Tree Ensembles
• ICML 2023$H$-Consistency Bounds for Pairwise Misranking Loss Surrogates
• ICLR 2023A Convergent Single-Loop Algorithm for Relaxation of Gromov-Wasserstein in Graph Data
• CVPR 20233DAvatarGAN: Bridging Domains for Personalized Editable Avatars
• NeurIPS 2026A Bitter Lesson for Data Filtering
• ICML 2026A Queueing-Theoretic Framework for Stability Analysis of LLM Inference with KV Cache Memory Constraints
• ICLR 2026Bayesian Neural Networks for Functional ANOVA Model
• CVPR 2026Active Perceptual Inference A Corticothalamic-Inspired Dynamic Nested Recurrent Network for

All Simulation for Driving papers

940 papers, page 19 of 19

901. NeurIPS 2026Two Phase Rapid Simulation Based Inference with Differentiable Simulators
902. NeurIPS 2026Two-Fidelity Best-Action Identification for Stochastic Minimax Tree
903. NeurIPS 2026U-MVP: Encode Locally, Decode Globally for Feed-Forward 3D Gaussian Splatting
904. NeurIPS 2026Uncertainty Quantification for Large Language Diffusion Models
905. NeurIPS 2026Uncertainty Quantification for Multimodal Large Language Models with Incoherence-adjusted Semantic Volume
906. NeurIPS 2026Uncertainty Quantification of Least Squares Estimator for Generalized Orthogonal Procrustes Problems
907. NeurIPS 2026Uncertainty-Guided Reward Labeling for Reinforcement Learning under Limited Feedback
908. NeurIPS 2026UNIVERSE: Unified Video Action Models for Autonomous Driving with Flexible Mask-Modulated Modality Generation
909. NeurIPS 2026UpSafe℃: Upcycling for Controllable Safety in Large Language Models
910. NeurIPS 2026UxSID: Semantic-Aware User Interests Modeling for Ultra-Long Sequence
911. NeurIPS 2026VAANI: Capturing the language landscape for an inclusive digital India
912. NeurIPS 2026Values as Style: Disentangling Values from Semantics with One-Way Mixing for Low-Damage LLM Steering
913. NeurIPS 2026Variance Reduction for Expectations with Diffusion Teachers
914. NeurIPS 2026Velocity Ambiguity Profiles: Time-Resolved Bayes-Risk Diagnostics for Flow Matching
915. NeurIPS 2026Verifiers in the Loop: Decoding Time Verification for Code Translation
916. NeurIPS 2026View-Spectral Reconciliation Learning for Text-based Multispectral Aerial–Ground Person Re-Identification
917. NeurIPS 2026ViewRec3D: Learning to Recommend 3D Viewpoints for AI Photography
918. NeurIPS 2026ViroGym: Realistic Large-Scale Benchmarks for Evaluating Viral Proteins
919. NeurIPS 2026VisEditBench: A Benchmark for Vector-Format Diagram Editing with Visual Instructions
920. NeurIPS 2026VISTA: Support-Anchored Value Targeting for Fast Flow-Based Vision-Language-Action Policies
921. NeurIPS 2026WASP: Weakly Aligned Spatiotemporal Pairs for Fetal Brain MRI-Ultrasound Learning
922. NeurIPS 2026WavNAF: Learning Wave Propagation Priors for Neural Acoustic Fields
923. NeurIPS 2026What Time Is It? How Data Geometry Makes Time Conditioning Optional for Flow Matching
924. NeurIPS 2026What to Predict for Efficient Scheduling on Parallel Machines
925. NeurIPS 2026When Are Predictions Enough? An Evaluation Protocol for Frozen Expert Composition
926. NeurIPS 2026When Copying Is Hard: Copy-Constrained Decoding for Exact Span Reproduction
927. NeurIPS 2026When Empathy Misses the Goal: A Benchmark for Goal Displacement in LLM Advice
928. NeurIPS 2026When Further Realization Is Unnecessary: Amortized Reasoning for Long-Horizon LLM Agents
929. NeurIPS 2026When Policies Cannot Be Retrained: A Unified Closed-Form View of Post-Training Steering in Offline Reinforcement Learning
930. NeurIPS 2026Where Reusable Computation Becomes Detectable: Solution-Frame Path Triage for Modular-Arithmetic Grokking
931. NeurIPS 2026Which Pairs Should We Compare for DPO?
932. NeurIPS 2026Who Called? V33DA: A Physically Verified Multimodal Benchmark for Vocal Attribution in Zebra Finch Groups
933. NeurIPS 2026Why Routers Freeze: Infinite Width Learning Dynamics for Mixture of Experts
934. NeurIPS 2026WILD: Widely Linear Conditioning for Time Series Forecasting
935. NeurIPS 2026WORD: Diffusion-Based Posterior Inference for Online Goal Recognition
936. NeurIPS 2026WorldComposer: Generative High-Fidelity Simulation with Digital Cousins for Generalizable Robot Learning and Evaluation
937. NeurIPS 2026WTF?! Simulation-Free Reinforcement Learning with Wasserstein-Tilted Flow Maps
938. NeurIPS 2026XBRIDGE: Entity-Grounded Latent Bridge for Heterogeneous LLM Communication
939. NeurIPS 2026XTraj: A Coarse-to-Fine Autoregressive Framework for Transferable Trajectory Generation
940. NeurIPS 2026Z0-Inf: Zeroth Order Approximation for Data Influence

FAQ

How many Simulation for Driving papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

5,882 in total: 969 in 2023, 1,308 in 2024, 1,405 in 2025, 2,200 in 2026.

How many Simulation for Driving papers are at NeurIPS 2026?

NeurIPS 2026 has 940 Simulation for Driving papers, versus 542 the year before.

How many Simulation for Driving papers are at ICLR 2026?

ICLR 2026 has 313 Simulation for Driving papers, versus 228 the year before.

How many Simulation for Driving papers are at ICML 2026?

ICML 2026 has 363 Simulation for Driving papers, versus 275 the year before.

How many Simulation for Driving papers are at CVPR 2026?

CVPR 2026 has 584 Simulation for Driving papers, versus 360 the year before.

Which conference publishes the most Simulation for Driving papers?

NeurIPS, with 2,111 papers from 2023 to 2026.